Abstract: An exemplary system and method that facilitate the use of clinical medical data in electronic medical records for training an AI model. In an aspect, the exemplary system and method can be used for asymmetric multi-modal machine learning training, e.g., supervised contrastive learning, on one data set modality (e.g., having clinical labels) to learn useful features in a first model for fine-tuning on another data set (e.g., having biomarker labels). In another aspect, the exemplary system and method can use demographic information in electronic medical records for training an AI model.